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September 16, 2019
Stylistic preference is an important factor when a home goods customer is deciding which product to buy, but it is very difficult to identify and define. Although designers have established different style categories, labeling a scene as adhering to a particular style is a highly subjective task. Furthermore, customers often cannot verbalize their style preferences, but can identify their preferences by looking at images. Thus, it is crucial to show products in a room context that are tailored to a customer's taste.
August 14, 2019
Wayfair sells over 10 million products on our website. This vast selection ensures that customers have numerous options when shopping for a particular item; but it also makes effective, personalized product recommendations of vital importance in helping our customers find products that are relevant to their interests. This week in Wayfair Data Science’s explainer series, Data Scientist Samuel Yusuf discusses the two main domains of collaborative filtering (memory based and model based) and how they can be applied to make predictions on a customer’s preference for a product.
August 6, 2019
I love operations engineering, full stop. Focusing on this unique set of problems gets me out of bed every day and drives a high energy level. I have spent a significant amount of time in various aspects of operations engineering throughout my career, and have found this area of software engineering not always so readily accessible or accurately portrayed. In this post, I'll shed some light on the discipline.
July 30, 2019
The purpose of the 3D API is to provide external developers access to the Wayfair production grade models stored as realtime 3D assets. End users are able to call API to get models and product information.
July 25, 2019
Experimentation plays a central role in understanding the business impact of data science strategies and solutions. A few weeks ago, Wayfair Data Science Manager Jerry Chen shared one way Wayfair has improved the experimentation process by building a unified test design and measurement platform (Gemini) for our marketing AB tests (read the blog post here!). In this video, Jerry will provide an introduction to running large scale Monte Carlo simulations to validate/optimize test design and measurement methodology using historical data.
June 24, 2019
Product tags reveals the detailed characteristics of a product which can be used to power PDP (product display page) creation, searching, filter creation and more.This week in Wayfair Data Science’s explainer series, Senior Data Scientist Jinnie Chen outlines some of the strategies we applied in Wayfair to perform automated product tagging.
June 11, 2019
Domain-specific languages (DSLs) – are they worth the hype? In a recent investigation, our Berlin-based Android Team were looking to further optimize Wayfair’s Android app, and were looking around for options. With the inconvenience of creating a UI in XML, and the appeal of a language that focuses on a specific aspect of an application, our team chose to give Anko Layouts a try.
June 10, 2019
Serving effective personalized product recommendations is critical to providing a pleasant shopping experience for customers at Wayfair. To do this, the Wayfair Data Science team builds state of the art recommender systems that leverage the customer’s previous browsing history to surface products that match their interests. This week in Wayfair Data Science’s explainer series, Senior Data Scientist Cole Zuber describes how we approach evaluating these recommender systems.